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Large-scale assessment of needs in low vision individuals using the Aira assistive technology

Overview of attention for article published in Clinical Ophthalmology, September 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
20 Mendeley
Title
<p>Large-scale assessment of needs in low vision individuals using the Aira assistive technology</p>
Published in
Clinical Ophthalmology, September 2019
DOI 10.2147/opth.s215658
Authors

Brian J Nguyen, William S Chen, Allison J Chen, Andrew Utt, Emily Hill, Ryan Apgar, Daniel L Chao

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 30%
Student > Bachelor 5 25%
Student > Ph. D. Student 3 15%
Researcher 2 10%
Professor 1 5%
Other 0 0%
Unknown 3 15%
Readers by discipline Count As %
Engineering 3 15%
Business, Management and Accounting 3 15%
Computer Science 2 10%
Nursing and Health Professions 2 10%
Medicine and Dentistry 2 10%
Other 4 20%
Unknown 4 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 September 2019.
All research outputs
#11,943,370
of 18,829,177 outputs
Outputs from Clinical Ophthalmology
#970
of 2,260 outputs
Outputs of similar age
#161,092
of 280,454 outputs
Outputs of similar age from Clinical Ophthalmology
#13
of 49 outputs
Altmetric has tracked 18,829,177 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,260 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,454 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.